Abstract

Preservation of architectural knowledge faces substantial challenges, most notably due the high level of data heterogeneity. On the one hand, low-level architectural models include 3D models and point cloud data up to richer building information models (BIM), often residing in isolated data stores with insufficient support for ensuring consistency and managing change. On the oth-er hand, the Web contains vast amounts of information of potential relevance for stakeholders in the architectural field, such as urban planners, architects or building operators. This includes in particular Linked Data, offering structured data about, for instance, energy-efficiency policies, geodata or traffic and envi-ronmental information but also valuable knowledge which can be extracted from social media, for instance, about peoples' movements in and around build-ings or their perception of certain structures. In this paper we provide an over-view of our early work towards building a sustainable, semantic long-term ar-chive in the architectural domain. In particular we highlight ongoing activities on semantic enrichment of low-level architectural models towards the curation of a semantic archive of architectural knowledge.

Images

Bibtex

@INPROCEEDINGS{wessel-2013-Towards,
author = {Dietze, Stefan and Beetz, Jakob and Gadiraju, Ujwal and Katsimpras, Georgios and Wessel, Raoul and
Berndt, Ren{\'e}},
title = {Towards Preservation of semantically enriched Architectural Knowledge},
booktitle = {3rd International Workshop on Semantic Digital Archives (SDA 2013)},
year = {2013},
month = sep,
location = {Valetta, Malta},
abstract = {Preservation of architectural knowledge faces substantial challenges, most notably due the high
level of data heterogeneity. On the one hand, low-level architectural models include 3D models and
point cloud data up to richer building information models (BIM), often residing in isolated data
stores with insufficient support for ensuring consistency and managing change. On the oth-er hand,
the Web contains vast amounts of information of potential relevance for stakeholders in the
architectural field, such as urban planners, architects or building operators. This includes in
particular Linked Data, offering structured data about, for instance, energy-efficiency policies,
geodata or traffic and envi-ronmental information but also valuable knowledge which can be extracted
from social media, for instance, about peoples' movements in and around build-ings or their
perception of certain structures. In this paper we provide an over-view of our early work towards
building a sustainable, semantic long-term ar-chive in the architectural domain. In particular we
highlight ongoing activities on semantic enrichment of low-level architectural models towards the
curation of a semantic archive of architectural knowledge.}
}